Model Governance Analyst

1 week ago


Shanghai, Shanghai, China East West Bank Full time


Introduction

Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates' potential for career advancement. 

Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.



Overview

Model Governance Analyst plays an essential role to the model lifecycle, with key responsibilities including the authoring of high-quality technical documentation, supporting model development, and managing model performance monitoring processes. This role will collaborate closely with model developers and key stakeholders, including Model Risk Management (MRM).

Key responsibilities include clearly translating complex mathematical, statistical, and machine learning concepts into auditable documentation, guiding model developers in fulfilling model risk requirements, maintaining the Model Ongoing Performance Monitoring (OPM) reports, and ensuring the timely remediation of documentation-related findings from validators, auditors, and MRM.



Responsibilities

  • Authoring and maintaining​​ comprehensive documentation for key Treasury models (e.g., liquidity risk, market risk), ​​ensuring compliance with​​ internal Model Risk Management policies and regulatory standards.
  • ​​Leading​​ MRM-related documentation activities, including the timely remediation of validator findings, ​​and effectively bridging the gap​​ between technical model developers and MRM's requirements.
  • ​​Responsible for​​ Model Ongoing Performance Monitoring (OPM) processes and reports.
  • ​​Managing​​ the end-to-end documentation lifecycle for models, including ​​maintaining​​ standardized ​​templates,​​ version control, model change log, ​​and​​ coordinating review cycles with stakeholders (e.g., model owners and Model Risk teams).
  • ​​Identifying, researching, and proposing​​ improvements to documentation processes, templates, and governance procedures to enhance quality and operational efficiency.
  • ​​Performing​​ other financial analysis, research assignments, ​​and​​ other job duties as assigned.


Qualifications

  • 5+ years of​​ proven experience in a quantitative role within financial industry, with a direct focus on model documentation, model validation, or model development. Experience specifically with Treasury models (e.g., Liquidity Risk, Interest Rate Risk) is a significant advantage.
  • ​​ Bachelor's degree required, preferably in a quantitative field (e.g., Economics, Finance, Mathematics, Statistics, Actuarial Science, Data Science).
  • An advanced degree in a quantitative field and/or a professional certification directly related to financial risk management (such as CFA, FRM) is a strong plus.
  • ​​Exceptional​​ technical writing and communication skills in English.
  • ​​Demonstrable understanding​​ of financial products and the core principles of market risk, liquidity risk, and/or ​​broader​​ risk management.
  • ​​Proficiency with​​ Microsoft Office ​​suite is​​ required.
  • ​​Meticulous attention to detail and a rigorous,​​ analytical approach to problem-solving.
  • ​​Experience with​​ statistical software (e.g., R, Python) or data tools (e.g., VBA, Power BI, SQL) is preferred.
  • ​​Strong project management skills, with the ability to​​ manage the documentation lifecycle for multiple models simultaneously and meet strict deadlines.
  • ​​Excellent interpersonal skills, with the ability to​​ collaborate effectively with quantitative model developers, validators, and ​​other stakeholders​​.



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